Each model supports a few standard outputs for examination of results:

Termite plots

LDAvis-based plots

topik’s LDAvis-based plots use the pyLDAvis module, which is itself a

Python port of the R_ldavis library. The visualization consists of two
linked, interactive views. On the left is a projection of the topics onto
a 2-dimensional space, where the area of each circle represents that topic’s
relative prevalence in the corpus. The view on the right shows details of
the composition of the topic (if any) selected in the left view. The slider
at the top of the right view adjusts the relevance metric used when ranking
the words in a topic. A value of 1 on the slider will rank terms by their
probabilities for that topic (the red bar), whereas a value of 0 will rank
them by their probabilities for that topic divided by their probabilities for the overall corpus (red divided by blue).